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- ROMAN is a view-invariant global localization method that maps open-set objects and uses the geometry, shape, and semantics of objects to find the transformation between a current pose and previously created object map. This enables loop closure between robots even when a scene is observed from opposite views.
- graph-theoretic framework for robust pairwise data association
- A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
murp-datasets
Public- PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
dpgo_ros
PublicROS wrapper for distributed pose graph optimization16_06_Class
Publicdpgo
PublicDistributed Pose Graph Optimization- Decentralized Multiagent Trajectory Planner Robust to Communication Delay
multi_jackal
Public- 3D Trajectory Planner in Unknown Environments
minvo
PublicSimplexes with Minimum Volume Enclosing Polynomial Curvesplanning
Publicfastsam_ros
Publicgym-collision-avoidance
Publicyolov7_ros
Public- Trajectory Planner in Multi-Agent and Dynamic Environments
android_loomo_ros_core
Public